Evidence map›Paper›PMID 33823099›Full record

ArticleJournal of pediatric endocrinology & metabolism : JPEM2021

Validation of a continuous measure of cardiometabolic risk among adolescents.

Kaigang Li, Denise L Haynie, Xiang Gao, Leah M Lipsky, Tonja Nansel, Ronald J Iannotti, Federico E Vaca, Bruce G Simons-Morton

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pediatric endocrinology & metabolism : JPEM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Kaigang LiDepartment of Health & Exercise Science, Colorado State University, Fort Collins, CO, USA.
Denise L HaynieDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.
Xiang GaoDepartment of Health & Exercise Science, Colorado State University, Fort Collins, CO, USA.
Leah M LipskyDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.
Tonja NanselDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.
Ronald J IannottiThe CDM Group, Inc, Bethesda, MD, USA.
Federico E VacaDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA.
Bruce G Simons-MortonDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health & Human Development, Bethesda, MD, USA.

Funding

Intramural NIH HHS Z99 HD999999NICHD NIH HHS HHSN275201200001CNICHD NIH HHS HHSN275201200001I
6 · The paper itself

Abstract

objectivesWe validated a continuous cardiometabolic risk (CMR) measure among adolescents.

methodsFive metabolic syndrome (MetS) components including waist circumference, triglycerides, high-density lipoprotein cholesterol, fasting blood glucose, and mean arterial pressure were assessed in a national cohort of U.S. adolescents (n=560; 16.5 ± 0.5 y/o at baseline) in 10th grade (2010, Wave 1 (W1)), and follow-up assessments four (W4) and seven (W7) years later. Separately by wave, linear regressions were fitted to each MetS component controlling for age, sex, and race/ethnicity, and yielded standardized residuals (Z-scores). Wave-specific component Z-scores were summed to obtain composite CMR Z-scores. Four- and seven-year CMR change (CMR-diff W1-W4 and W1-W7). and average CMR risk (CMR-avg; (W1 + W4)/2 and (W1 + W7)/2) were calculated using the CMR Z-scores. W7 MetS was determined using adult criteria. Student's t-test and receiver operating characteristic (ROC) curve were conducted.

resultsParticipants meeting the adult criteria for MetS at W7 (74 of 416, 17.8%) had statistically significant (p<0.01) higher values for W1 CMR Z-scores (0.92 vs. -0.21), W4 CMR Z-scores (1.69 vs. -0.28), W7 CMR Z-scores (2.21 vs. -0.55), W1-W4 CMR-avg (1.53 vs. -0.27), W1-W7 CMR-diff (1.29 vs. -0.21), and W1-W7 CMR-avg (1.46 vs. -0.48) than those not meeting MetS criteria. Most results were similar for males and females in the sex-stratified analyses. The areas under the ROC curve were 0.61, 0.71, and 0.75 for W1, W4 and W7 Z-scores.

conclusionsFindings support the validity of the continuous CMR Z-scores calculated using linear regression in evaluating and monitoring CMR profiles from adolescence to early adulthood.

Indexed as

Body Mass IndexWaist CircumferenceAdolescentAdultBiomarkersBlood PressureCardiovascular DiseasesCholesterol, HDLCohort StudiesCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMetabolic SyndromePrognosisBiomarkersCholesterol, HDLTriglyceridesadolescentscardiometabolic riskmetabolic syndrome

Identifiers

PMID33823099
PMCPMC11349060

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.